US8159679B2 - Apparatus for measuring carriageway surface properties - Google Patents

Apparatus for measuring carriageway surface properties Download PDF

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US8159679B2
US8159679B2 US12/484,610 US48461009A US8159679B2 US 8159679 B2 US8159679 B2 US 8159679B2 US 48461009 A US48461009 A US 48461009A US 8159679 B2 US8159679 B2 US 8159679B2
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carriageway
light
line
data
travel
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US12/484,610
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US20090310143A1 (en
Inventor
John Leslie Gardiner
Ian Clifford Willis
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WDM Ltd
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WDM Ltd
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Assigned to W.D.M. LIMITED reassignment W.D.M. LIMITED ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: GARDINER, JOHN L., WILLIS, IAN C.
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
    • G01B11/25—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. one or more lines, moiré fringes on the object
    • G01B11/2518—Projection by scanning of the object
    • G01B11/2522—Projection by scanning of the object the position of the object changing and being recorded
    • E—FIXED CONSTRUCTIONS
    • E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
    • E01C—CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
    • E01C23/00—Auxiliary devices or arrangements for constructing, repairing, reconditioning, or taking-up road or like surfaces
    • E01C23/01—Devices or auxiliary means for setting-out or checking the configuration of new surfacing, e.g. templates, screed or reference line supports; Applications of apparatus for measuring, indicating, or recording the surface configuration of existing surfacing, e.g. profilographs
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/26—Measuring arrangements characterised by the use of optical techniques for measuring angles or tapers; for testing the alignment of axes
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/30—Measuring arrangements characterised by the use of optical techniques for measuring roughness or irregularity of surfaces
    • G01B11/303—Measuring arrangements characterised by the use of optical techniques for measuring roughness or irregularity of surfaces using photoelectric detection means
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C7/00—Tracing profiles
    • G01C7/02—Tracing profiles of land surfaces
    • G01C7/04—Tracing profiles of land surfaces involving a vehicle which moves along the profile to be traced
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C9/00—Measuring inclination, e.g. by clinometers, by levels
    • G01C9/02—Details

Definitions

  • the present invention relates to an apparatus for measuring properties of a carriageway.
  • Roads also need a rough or “textured” surface to allow water to be dispersed away from the contact area between the road and a tire. Failure to provide a textured surface prevents water from being dispersed and can lead to “aquaplaning” where the tire rides on a film of water above the road surface and loses friction contact with the road.
  • the surface texture can also be measured by directing a pulse of light onto the road surface and viewing diffuse scatter from the road surface at an oblique angle such that the distance between the road surface and the light source is translated directly into position on a photo-detector array.
  • the difference between smoothness and texture is purely one of wavelength.
  • the “inertial platform” described hereinabove can also capture surface texture.
  • an apparatus for measuring surface properties of a carriageway or road comprising a platform arranged to move over the carriageway, the platform carrying a light source arranged to illuminate the carriageway, and a detector arranged to receive light returning from the carriageway, characterised in that the light source projects a line of light onto the surface of the carriageway and data representing light returning from the carriageway is captured and stored.
  • the present invention projects a line of light onto the carriageway surface, unlike prior art systems which only project a single spot onto a surface. Projecting a line of light has significant advantages. If the line of light is substantially parallel to a direction of travel of the platform then a plurality of measurements representing the road surface can be taken, and adjacent measurements can be compared with one another in order to align the measurements such that a series of discreet measurements can be formed into a single elongate measurement. The comparison is preferably performed by cross correlation between adjacent sets of measurements. The integrity of measurements can also be improved as the same portion of road surface may be scanned multiple times by virtue of being included in one or more adjacent measurements. Data from the same section of the road surface may then be averaged to improve the signal to noise ratio therein.
  • image processing may be used to merge data from dissimilar measurements in order to synthesis a higher resolution data set than actually used for the image capture.
  • the apparatus provides an indication of surface texture.
  • the apparatus may further include a data processor arranged to form short term estimates of the gradient of the carriageway with respect to a preceding portion of the carriageway. These estimates of gradient may then be processed to obtain an indication of relative changes in the gradient of the carriageway over a specific distance or specific spatial periodicities. This data can then be represented to show whether the carriageway is notionally smooth or to indicate sections of the carriageway which have undesirable undulations therein. It is thus possible to construct an apparatus which can provide an estimate of gradient or height changes in a carriageway surface with respect to a datum, but which does not need to rely on the inertial platform techniques used by the prior art. Thus, because the present apparatus does not need to rely on inertial platforms it can be used at much slower speeds, for example less than ten miles an hour and advantageously at substantially walking speed.
  • the line of light may be substantially at right angles to the direction of travel so as to image a swathe along the carriageway as the device is moved along the carriageway.
  • This provides a useful measurement of the carriageway's texture along such a swathe, and this can be related to the ability of a carriageway to disperse water thereby reducing the risk of vehicles aquaplaning.
  • the direction of the line of light is switchable between substantially parallel with the direction of travel and substantially at right angles to the direction of travel.
  • the line of light could be positioned obliquely to the direction of travel such that multiple measurements can be analysed to synthesise, optionally in a post processing activity, data sets that would be obtained if the line of light was parallel to the direction of travel and data sets that would be obtained if the line of light was at right angles to the direction of travel.
  • a method of measuring surface properties of a carriageway comprising illuminating a section of the carriageway with a line of light from a light source such that an elongate section of the carriageway can be inspected without moving a platform carrying the light source, and receiving reflected light at a photo-detector that images the line of light so as to take multiple spaced apart measurements of carriageway surface height variations.
  • FIG. 1 schematically represents an optical imaging and data capture system imaging a carriageway and constituting a first embodiment of the present invention
  • FIG. 2 schematically illustrates the relationship between adjacent data sets captured by the apparatus shown in FIG. 1 ;
  • FIG. 3 a to 3 c schematically compare three measurements of surface texture to show how adjacent overlapping measurements can be cross-correlated
  • FIG. 4 schematically illustrates a short section of data where height measurements have been quantised, and how these can be fitted to a constrained linear line of best fit
  • FIG. 5 shows an optical arrangement for measured texture for a swathe of surface
  • FIG. 6 schematically illustrates a platform carrying an embodiment of the present invention.
  • FIG. 1 schematically illustrates the optical and data processing system of an apparatus for measuring surface properties of a carriageway and constituting an embodiment of the present invention.
  • a movable platform schematically designated by the chain line 2 carries a light source 4 , a photo-detector array 6 and a data capture unit 8 above a surface 10 of a carriageway under inspection. Any portion of a carriageway can be characterised by several properties.
  • the present invention is designed to facilitate measurements of small scale height variations in the carriageway, which constitute surface texture, together with estimates of relative gradients of the small portions of the carriageway with respect to the gradient of a preceding portion.
  • the light source 4 is preferably a laser light producing a fan 20 of light that forms a line 22 of light over a portion of the carriageway.
  • the device utilises a principal of structured light triangulation.
  • the laser points directly downwards and the fan of light is aligned in the direction of travel of the platform 2 .
  • light is diffusely scattered from the road surface and this scattering is observed by a photo-detector array 6 which is offset from the laser 4 and hence can be regarded as viewing the carriageway surface at an oblique angle.
  • Such an arrangement gives a direct measurement of the relative heights of the diffuse scatterers within the carriageway surface as vertical displacement is directly converted to a horizontal displacement within the CCD array 6 .
  • a line of light multiple measurements along the length of the line of light can be made in a single instance.
  • These measurements of road surface are then conveyed from the photo-detector 6 to a data storage and optionally data processing unit 8 .
  • the storage and processing unit 8 is typically a fairly standard computing architecture comprising non-volatile memory, such as magnetic or bubble memory storage together with semi-conductor memory and a central processing unit. Additionally the data processor also includes non-volatile program memory for storing an operating system and an application for collecting and processing the data from the CCD array 6 .
  • the line of light is greater than 10 cm long at the road surface and, in use, data captures are repeated frequently such that even though the carriage is continually moving, a second data capture includes greater than 90% of the road surface imaged in a preceding first data capture.
  • FIG. 2 where length of road surface is illuminated and data therefrom is captured in a first data capture 30 .
  • a second data capture 32 along a path parallel to and in line with the first data capture 30 (but shown spaced apart in FIG. 2 for clarity) is then performed and it can be seen that the majority of the second data capture 32 overlies the same segment of road as was imaged in the first data capture 30 .
  • a subsequent third data capture 34 again images substantially the same portion of road as the second data capture 32 .
  • a fourth data capture 36 images substantially the same portion of road as the third data capture 34 , and indeed the preceding data captures 32 and 30 .
  • the degree of spatial correlation between adjacent portions of the road being imaged may be in the high 90% and typically around 98%.
  • FIG. 3 a schematically represents the measurement of local road surface height at a macro scale, representing surface texture, as captured in the first data capture 30 .
  • the data could be regarded as being bounded by start and finish lines 40 and 42 , respectively.
  • start and finish lines 40 and 42 respectively.
  • the carriage has moved such that the boundary of the data is now defined by lines 44 and 46 .
  • lines 44 and 46 It can be seen from inspection of the Figure that the majority of the data between lines 42 and 44 of FIG. 3 b was also contained in FIG. 3 a . However a segment between line 40 and line 44 has now been lost and a new segment between line 42 and line 46 has been included.
  • the data processor analysing this data has no apriori knowledge about the speed of movement of the platform, or indeed whether its speed was constant. It therefore has no external information in order to help it to align one data measurement with the next such that the individual measurements can be synthesised into a continuous run. However because of the high degree of overlap between one measurement and the next the data processor can cross correlate the first measurement as shown in FIG. 3 a with the second measurement as shown in FIG. 3 b . As is known to the person skilled in the art the cross correlation function can be expected to exhibit a maximum when the data is brought into data alignment, and hence the cross correlation function will then yield a value representing the displacement that occurred between the first measurement 30 and the second measurement 32 .
  • This displacement can then be used to allow data from one measurement to be appended to data from a preceding measurement or alternatively for a mixture of apendment of the data sets and averaging of the data sets to be performed.
  • the data is constrained to lie between start and end points 48 and 50 but again a large proportion of that data is contained in the preceding data set as shown in FIG. 3 b , and indeed in the data set preceding that as shown in FIG. 3 a .
  • cross correlation provides a powerful tool for analysing the amount of displacement which has occurred between adjacent, or indeed near adjacent data sets, and then to allow these sets to be merged into a single data run representative of the road surface over a relatively large distance, and a distance significantly greater than the length of the light line 22 .
  • FIG. 4 schematically illustrates a small section of the synthesised road height data where measurements have been assigned to data binning points 60 to 64 .
  • the data processor 8 can then select the data points 60 to 64 and perform a straight line fitting to those points to find a short segment of a straight line 65 which has the best to least squares fit with respect to the data points 60 to 64 .
  • the line 65 will be assigned a gradient by the fitting routine which is representative of the local gradient of the road with respect to some undefined referenced datum.
  • this process can be repeated for adjacent short sections of road to obtain a map of gradient changes along the road which is indicative of the smoothness of the road. Least squares fitting to a straight line segment is a well known technique and does not need to be described here.
  • FIG. 5 shows a variation to the arrangement shown in FIG. 1 where the laser 4 has been turned through 90° so as to project a line of light 80 along a direction transverse to a direction 82 of travel of the platform. Diffuse scatter from the road surface is, as before, monitored by a CCD array 6 and data therefrom is stored or processed a data processor 8 . This measurement allows a surface texture over a swathe of road in the direction of travel to be rapidly estimated.
  • the laser light source, CCD array and data processor are all relatively small and compact components.
  • the data processor may, for example, be in the form of a PDA or a lap top.
  • the platform carrying the laser and photo-detector may be held above the road surface by a plurality of wheels, for example three arranged in a generally triangular configuration of which two wheels are shown in FIG. 6 .
  • Surface texture data can easily be stored onto flash memory for removal for subsequent processing. Flash memory sizes of over 1 gigabyte are routinely available and hence data collection and storage is not a limiting factor.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Multimedia (AREA)
  • Architecture (AREA)
  • Civil Engineering (AREA)
  • Structural Engineering (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Road Repair (AREA)
US12/484,610 2008-06-17 2009-06-15 Apparatus for measuring carriageway surface properties Active 2029-09-01 US8159679B2 (en)

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Application Number Priority Date Filing Date Title
GB0811080.1A GB2460892B (en) 2008-06-17 2008-06-17 Apparatus for measuring carriageway surface properties
GB0811080.1 2008-06-17

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US8159679B2 true US8159679B2 (en) 2012-04-17

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RU2734803C2 (ru) * 2017-12-27 2020-10-23 Федеральное государственное бюджетное образовательное учреждение высшего образования "Чувашский государственный аграрный университет" Устройство для выявления и обозначения повреждений дорожного полотна

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US7850395B1 (en) 2002-03-15 2010-12-14 GOMACO Corporation a division of Godbersen Smith Construction Co. Smoothness indicator analysis system
US8682622B1 (en) 2002-03-15 2014-03-25 Gomaco Corporation Smoothness indicator analysis system
US9963836B1 (en) 2005-02-23 2018-05-08 Gomaco Corporation Method for operating paving train machines
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JP6811534B2 (ja) 2016-02-04 2021-01-13 株式会社トプコン 道路性状の表示方法、及び道路性状の表示装置
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CN108507529B (zh) * 2017-05-16 2024-02-06 重庆大学 一种桥接坡沉降自动检测装置及车辆
GB2564423A (en) * 2017-07-07 2019-01-16 Mattest Southern Ltd Apparatus and method for determining an indicator of the macrotexture of a road surface
JP7077044B2 (ja) * 2018-02-13 2022-05-30 株式会社トプコン データ処理装置、データ処理方法およびデータ処理プログラム
CN111877108A (zh) * 2020-07-15 2020-11-03 中公高科养护科技股份有限公司 一种基于线激光的路面平整度测量方法
CN112458847B (zh) * 2020-10-22 2022-01-25 中国一冶集团有限公司 沥青路面标高控制工具及其使用方法
CN112815868A (zh) * 2021-01-05 2021-05-18 长安大学 一种路面三维检测方法

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RU2734803C2 (ru) * 2017-12-27 2020-10-23 Федеральное государственное бюджетное образовательное учреждение высшего образования "Чувашский государственный аграрный университет" Устройство для выявления и обозначения повреждений дорожного полотна

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GB2460892A8 (en) 2010-01-20
GB0811080D0 (en) 2008-07-23
US20090310143A1 (en) 2009-12-17
EP2136177B1 (en) 2014-03-26
AU2009202347A1 (en) 2010-01-07
GB2460892A (en) 2009-12-23
HK1139200A1 (en) 2010-09-10
EP2136177A1 (en) 2009-12-23
AU2009202347B2 (en) 2013-11-21
GB2460892B (en) 2012-12-19
DK2136177T3 (da) 2014-06-30

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